文章基本信息

标题：Automatic Prediction of Diabetics from Retinal Image using deep Convolutional Neural Network
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作者：N.Sandhiya ; S.Nandhini ; G.Shelda 等
期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：7
页码：4076-4081
DOI：10.35629/5252-030738963904
语种：English
出版社：IJAEM JOURNAL
摘要：Automated retinal image analysis is becoming an imperative screening tool for early revealing of certain risks and diseases like Diabetic Retinopathy. Diabetic Retinopathy (DR) is the prominent cause of blindness in the world. Early detection of diabetic retinopathy can provide operative treatment. Earlytreatment can be conducted from detection of microaneurysms. Microaneurysms are the earliest clinical sign of diabetic retinopathy and they appear as small red spots on retinal fundus images. Microaneurysms are reddish in colour with a diameter less than 125 μm.  The existing trained eye care specialists are not able to screen the growing number of diabetic patients. So there is a need to develop a technique that is capable to detect microaneurysms  Early automated microaneurysms detection can help in reducing the incidence of blindness. In this project, we review and analyze the techniques, algorithms and methodologies used for the detection of microaneurysms from diabetic retinopathy retinal fundus images which is usually CT, MRI dataset images.
关键词：CNN;Arduino;Microcontroller;Retinal image;Python